Here are the five most read articles on the Connected Lab blog over the past year. Over 35,000 people viewed our blog this year and read educational articles on digital transformation, laboratory connectivity, AI, cloud, and so much more. Here’s a look back at some of your favorites.
1. The Role of ADME Toxicology Studies in Drug Discovery Development
A critical piece in drug discovery and development is conducting DMPK (Drug Metabolism and Pharmacokinetics) studies, often referred to as ADMET (Absorption, Distribution, Metabolism, Elimination, Toxicity) studies. These studies help determine the viability of a drug candidate by answering several key questions:
- How much of the drug is absorbed and how quickly? (bioavailability)
- Where is the drug distributed within the body? What is the rate and extent of the distribution?
- How fast is the drug metabolized? What is the mechanism of action? What metabolite is formed and is it active or toxic?
- How is the drug excreted and how quickly?
- Does this drug have a toxic effect to body systems or organs?
2. What is a LIMS?
A laboratory information management system (LIMS) helps improve productivity and efficiency in the laboratory by tracking data associated with samples, experiments, workflows and instruments. A proper LIMS acts as an additional member of your team, automating workflows and tracking all the important sample information, data, workflows, and QA/QC results your lab generates each day. Read on to learn the top workflow benefits of a LIMS.
3. Machine Learning: A Primer to Laboratory Applications
Machine learning (ML) helps researchers across industries find meaning in massive amounts of data. While artificial intelligence (AI) is a broad term that applies to any intelligence displayed by machines or software, ML is a specific subset of AI. Learn more about how AI, ML, and deep learning (DL) relate to each other, how informatics systems like Laboratory Information Management Systems (LIMS) provide machine learning algorithms with the high-quality data needed to drive meaningful insight, and how machine learning could impact your lab in the next decade.
4. The Power of AI in Drug Discovery and Development
While prescription drugs transform the lives of patients, the path to drug approval has become more complicated and expensive over the past 10 years. Artificial intelligence (AI), including its subfields of machine learning (ML) and deep learning (DL), have the power to speed discovery. Learn how AI can reduce the amount of time it takes to receive an accurate diagnosis and streamline the path to discover and develop treatments.
5. Laboratory Inventory Management Tips
If your lab is like most labs, you probably struggle with the “nothing I need is ever there” dilemma. Digital solutions offer an effective way to manage your lab inventory. This blog details three questions to ask when choosing a solution to optimize your lab inventory management. Choosing the right system can save you time and money. Find out how to get started.
The Connected Lab blog offers a variety of resources that make digital transformation of the lab meaningful, relatable and accessible for scientists and researchers across all industries and fields of study. Check it out today!
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